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std::string common_chat_format_name(common_chat_format format) { | |
switch (format) { | |
case COMMON_CHAT_FORMAT_CONTENT_ONLY: return "Content-only"; | |
case COMMON_CHAT_FORMAT_GENERIC: return "Generic"; | |
case COMMON_CHAT_FORMAT_MISTRAL_NEMO: return "Mistral Nemo"; | |
case COMMON_CHAT_FORMAT_LLAMA_3_X: return "Llama 3.x"; | |
case COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS: return "Llama 3.x with builtin tools"; | |
case COMMON_CHAT_FORMAT_DEEPSEEK_R1: return "DeepSeek R1"; | |
case COMMON_CHAT_FORMAT_FIREFUNCTION_V2: return "FireFunction v2"; | |
case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2: return "Functionary v3.2"; | |
case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1: return "Functionary v3.1 Llama 3.1"; | |
case COMMON_CHAT_FORMAT_HERMES_2_PRO: return "Hermes 2 Pro"; | |
case COMMON_CHAT_FORMAT_COMMAND_R7B: return "Command R7B"; | |
default: | |
throw std::runtime_error("Unknown chat format"); | |
} | |
} | |
const common_grammar_options grammar_options { | |
/* .dotall = */ false, | |
/* .compact_spaces = */ false, | |
// /* .compact_spaces = */ true, | |
}; | |
static bool parse_json(std::string::const_iterator & it, const std::string::const_iterator & end, json & out) { | |
// // https://json.nlohmann.me/features/parsing/sax_interface/ | |
struct json_error_locator : public nlohmann::json_sax<json> { | |
std::size_t position; | |
bool found_error; | |
json_error_locator() : position(0), found_error(false) {} | |
bool parse_error(std::size_t position, const std::string &, const json::exception &) override { | |
this->position = position - 1; | |
this->found_error = true; | |
return false; | |
} | |
bool null() override { return true; } | |
bool boolean(bool) override { return true; } | |
bool number_integer(number_integer_t) override { return true; } | |
bool number_unsigned(number_unsigned_t) override { return true; } | |
bool number_float(number_float_t, const string_t &) override { return true; } | |
bool string(string_t &) override { return true; } | |
bool binary(binary_t &) override { return true; } | |
bool start_object(std::size_t) override { return true; } | |
bool key(string_t &) override { return true; } | |
bool end_object() override { return true; } | |
bool start_array(std::size_t) override { return true; } | |
bool end_array() override { return true; } | |
}; | |
json_error_locator err_loc; | |
json::sax_parse(it, end, &err_loc); | |
std::string::const_iterator temptative_end; | |
if (err_loc.found_error) { | |
temptative_end = it + err_loc.position; | |
} else { | |
temptative_end = end; | |
} | |
std::string json_sub {it, temptative_end}; | |
try { | |
out = json::parse(json_sub); | |
it = temptative_end; | |
return true; | |
} catch (const std::exception &) { | |
return false; | |
} | |
} | |
/** | |
* Takes a prefix regex that must have 1 group to capture the function name, a closing suffix, and expects json parameters in between. | |
* Aggregates the prefix, suffix and in-between text into the content. | |
*/ | |
static common_chat_msg parse_json_tool_calls( | |
const std::string& input, | |
const std::optional<std::regex> & trigger_opt, | |
const std::regex & function_regex, | |
const std::regex & close_regex) { | |
std::smatch match; | |
common_chat_msg result; | |
result.role = "assistant"; | |
auto end = input.end(); | |
auto it = input.begin(); | |
if (trigger_opt) { | |
if (!std::regex_search(it, end, match, *trigger_opt)) { | |
result.content = input; | |
return result; | |
} | |
result.content = match.prefix().str(); | |
it = match.suffix().first; | |
} | |
while (it != end) { | |
std::sregex_iterator rend; | |
std::sregex_iterator rit(it, end, function_regex); | |
if (rit == rend) { | |
fprintf(stderr, "No more tool calls found\n"); | |
result.content += std::string(it, end); | |
break; | |
} | |
auto name = rit->str(1); | |
result.content += std::string(it, rit->prefix().second); | |
it = rit->suffix().first; | |
json arguments; | |
if (!parse_json(it, end, arguments)) { | |
throw std::runtime_error("Failed to parse json tool call arguments"); | |
} | |
if (!std::regex_search(it, end, match, close_regex)) { | |
throw std::runtime_error("Malformed input, missing closing pattern"); | |
} | |
it = match.suffix().first; | |
result.tool_calls.push_back({name, arguments.is_string() ? arguments.get<std::string>() : arguments.dump(), /* id= */ ""}); | |
} | |
return result; | |
} | |
static common_chat_msg parse_prefixed_json_tool_call_array(const std::string& input, const std::string & prefix, size_t rstrip_prefix = 0) { | |
auto content_end = input.find(prefix); | |
size_t tc_start = std::string::npos; | |
common_chat_msg result; | |
result.role = "assistant"; | |
const auto process_tool_calls = [&](const json & tool_calls) { | |
for (const auto & tool_call : tool_calls) { | |
const auto & arguments = tool_call["arguments"]; | |
result.tool_calls.push_back({ | |
tool_call["name"], | |
arguments.is_string() ? arguments.get<std::string>() : arguments.dump(), | |
tool_call.contains("id") ? tool_call["id"] : "", | |
}); | |
} | |
}; | |
if (content_end == std::string::npos) { | |
result.content = input; | |
} else { | |
tc_start = content_end + prefix.size() - rstrip_prefix; | |
result.content = input.substr(0, content_end); | |
auto tool_calls = json::parse(input.substr(tc_start)); | |
process_tool_calls(tool_calls); | |
} | |
return result; | |
} | |
static void foreach_function(const json & tools, const std::function<void(const json &)> & fn) { | |
for (const auto & tool : tools) { | |
if (!tool.contains("type") || tool["type"] != "function" || !tool.contains("function")) { | |
LOG_INF("Skipping tool without function: %s", tool.dump(2).c_str()); | |
continue; | |
} | |
fn(tool); | |
} | |
} | |
static std::string apply( | |
const common_chat_template & tmpl, | |
const nlohmann::ordered_json & messages, | |
const nlohmann::ordered_json & tools, | |
bool add_generation_prompt, | |
const nlohmann::ordered_json & extra_context = nlohmann::ordered_json()) | |
{ | |
minja::chat_template_inputs tmpl_inputs; | |
tmpl_inputs.messages = messages; | |
tmpl_inputs.tools = tools; | |
tmpl_inputs.add_generation_prompt = add_generation_prompt; | |
tmpl_inputs.extra_context = extra_context; | |
// TODO: add flag to control date/time, if only for testing purposes. | |
// tmpl_inputs.now = std::chrono::system_clock::now(); | |
minja::chat_template_options tmpl_opts; | |
tmpl_opts.use_bos_token = false; | |
tmpl_opts.use_eos_token = false; | |
return tmpl.apply(tmpl_inputs, tmpl_opts); | |
} | |
static common_chat_params common_chat_params_init_generic(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { | |
common_chat_params data; | |
auto tool_call_schemas = json::array(); | |
foreach_function(inputs.tools, [&](const json & tool) { | |
const auto & function = tool["function"]; | |
auto tool_schema = json { | |
{"type", "object"}, | |
{"properties", { | |
{"name", { | |
{"type", "string"}, | |
{"const", function["name"]}, | |
}}, | |
{"arguments", function["parameters"]}, | |
}}, | |
{"required", json::array({"name", "arguments"})}, | |
}; | |
if (function.contains("description")) { | |
tool_schema["description"] = function["description"]; | |
} | |
if (inputs.parallel_tool_calls) { | |
tool_schema["properties"]["id"] = { | |
{"type", "string"}, | |
{"minLength", 4}, | |
}; | |
tool_schema["required"].push_back("id"); | |
} | |
tool_call_schemas.emplace_back(tool_schema); | |
}); | |
const auto tool_call = | |
inputs.parallel_tool_calls | |
? json { | |
{"type", "object"}, | |
{"properties", { | |
{"tool_calls", { | |
{"type", "array"}, | |
{"items", tool_call_schemas.size() == 1 ? tool_call_schemas[0] : json { | |
{"anyOf", tool_call_schemas}, | |
}}, | |
{"minItems", 1}, | |
}}, | |
}}, | |
{"required", json::array({"tool_calls"})}, | |
} | |
: json { | |
{"type", "object"}, | |
{"properties", { | |
{"tool_call", tool_call_schemas.size() == 1 ? tool_call_schemas[0] : json { | |
{"anyOf", tool_call_schemas}, | |
}}, | |
}}, | |
{"required", json::array({"tool_call"})}, | |
}; | |
const auto schema = | |
inputs.tool_choice != "required" | |
? json { | |
{"anyOf", json::array({ | |
tool_call, | |
{ | |
{"type", "object"}, | |
{"properties", { | |
{"response", inputs.json_schema.is_null() | |
? json {{"type", "string"}} | |
: inputs.json_schema | |
}, | |
}}, | |
{"required", json::array({"response"})}, | |
}, | |
})} | |
} | |
: tool_call; | |
data.grammar_lazy = false; | |
data.grammar = build_grammar([&](const common_grammar_builder & builder) { | |
builder.add_schema("root", schema); | |
}, grammar_options); | |
auto tweaked_messages = common_chat_template::add_system( | |
inputs.messages, | |
"Respond in JSON format, either with `tool_call` (a request to call tools) or with `response` reply to the user's request"); | |
data.prompt = apply(tmpl, tweaked_messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); | |
data.format = COMMON_CHAT_FORMAT_GENERIC; | |
return data; | |
} | |
static common_chat_msg common_chat_parse_generic(const std::string & input) { | |
json data = json::parse(input); | |
common_chat_msg result; | |
result.role = "assistant"; | |
if (data.contains("tool_calls")) { | |
for (const auto & tool_call : data["tool_calls"]) { | |
result.tool_calls.push_back({ | |
tool_call["name"], | |
tool_call["arguments"].dump(), | |
tool_call.contains("id") ? tool_call["id"] : "", | |
}); | |
} | |
} else if (data.contains("tool_call")) { | |
result.tool_calls.push_back({ | |
data["tool_call"]["name"], | |
data["tool_call"]["arguments"].dump(), | |
/* id= */ "", | |
}); | |
} else if (data.contains("response")) { | |
const auto & response = data["response"]; | |
result.content = response.is_string() ? response.get<std::string>() : response.dump(2); | |
} | |
return result; | |
} | |
static common_chat_params common_chat_params_init_mistral_nemo(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { | |
common_chat_params data; | |
data.grammar_lazy = inputs.tool_choice != "required"; | |
data.grammar = build_grammar([&](const common_grammar_builder & builder) { | |
auto schemas = json::array(); | |
foreach_function(inputs.tools, [&](const json & tool) { | |
const auto & function = tool["function"]; | |
schemas.push_back({ | |
{"type", "object"}, | |
{"properties", { | |
// Important note: the model is probably trained to take a JSON stringified arguments value. | |
// It's hard to constrain that for now (while reusing the JSON schema conversion), so we're just expecting a plain object. | |
{"name", { | |
{"type", "string"}, | |
{"const", function["name"]}, | |
}}, | |
{"arguments", function["parameters"]}, | |
{"id", { | |
{"type", "string"}, | |
// Nemo's template expects a 9-character alphanumeric ID. | |
{"pattern", "^[a-zA-Z0-9]{9}$"}, | |
}}, | |
}}, | |
{"required", json::array({"name", "arguments", "id"})}, | |
}); | |
}); | |
auto schema = json { | |
{"type", "array"}, | |
{"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, | |
{"minItems", 1}, | |
}; | |
if (!inputs.parallel_tool_calls) { | |
schema["maxItems"] = 1; | |
} | |
builder.add_rule("root", "\"[TOOL_CALLS]\" " + builder.add_schema("tool_calls", schema)); | |
}, grammar_options); | |
data.grammar_triggers.push_back({"[TOOL_CALLS]", /* .at_start = */ true}); | |
data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); | |
data.format = COMMON_CHAT_FORMAT_MISTRAL_NEMO; | |
return data; | |
} | |
static common_chat_msg common_chat_parse_mistral_nemo(const std::string & input) { | |
return parse_prefixed_json_tool_call_array(input, "[TOOL_CALLS]"); | |
} | |
static common_chat_params common_chat_params_init_command_r7b(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { | |
common_chat_params data; | |
data.grammar_lazy = inputs.tool_choice != "required"; | |
data.grammar = build_grammar([&](const common_grammar_builder & builder) { | |
auto schemas = json::array(); | |
foreach_function(inputs.tools, [&](const json & tool) { | |
const auto & function = tool["function"]; | |
schemas.push_back({ | |
{"type", "object"}, | |
{"properties", { | |
{"tool_call_id", { | |
{"type", "string"}, | |
// Command-R's template expects an integer string. | |
{"pattern", "^[0-9]{1,10}$"}, | |
}}, | |
{"tool_name", { | |
{"type", "string"}, | |
{"const", function["name"]}, | |
}}, | |
{"parameters", function["parameters"]}, | |
}}, | |
{"required", json::array({"tool_call_id", "tool_name", "parameters"})}, | |
}); | |
}); | |
auto schema = json { | |
{"type", "array"}, | |
{"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, | |
{"minItems", 1}, | |
}; | |
if (!inputs.parallel_tool_calls) { | |
schema["maxItems"] = 1; | |
} | |
builder.add_rule("root", "\"<|START_ACTION|>\" " + builder.add_schema("tool_calls", schema) + " \"<|END_ACTION|>\""); | |
}, grammar_options); | |
data.grammar_triggers.push_back({"<|START_ACTION|>", /* .at_start = */ false}); | |
data.preserved_tokens = { | |
"<|START_RESPONSE|>", | |
"<|END_RESPONSE|>", | |
"<|START_THINKING|>", | |
"<|END_THINKING|>", | |
"<|END_ACTION|>", | |
}; | |
data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); | |
data.format = COMMON_CHAT_FORMAT_COMMAND_R7B; | |
return data; | |
} | |
static common_chat_msg common_chat_parse_command_r7b(const std::string & input) { | |
static std::regex response_regex("<\\|START_RESPONSE\\|>([\\s\\S\\n\\r]*?)<\\|END_RESPONSE\\|>"); | |
static std::regex thought_action_regex("<\\|START_THINKING\\|>([\\s\\S\\n\\r]*?)<\\|END_THINKING\\|><\\|START_ACTION\\|>([\\s\\S\\n\\r]*?)<\\|END_ACTION\\|>"); | |
std::smatch match; | |
common_chat_msg result; | |
result.role = "assistant"; | |
if (std::regex_match(input, match, response_regex)) { | |
result.content = match[1].str(); | |
} else if (std::regex_match(input, match, thought_action_regex)) { | |
result.tool_plan = match[1].str(); | |
auto actions_str = match[2].str(); | |
auto actions = json::parse(actions_str); | |
for (const auto & action : actions) { | |
result.tool_calls.push_back({ | |
/* .name = */ action["tool_name"], | |
/* .arguments = */ action["parameters"].dump(), | |
/* .id = */ action["tool_call_id"], | |
}); | |
} | |
} else { | |
LOG_ERR("Failed to parse command_r output"); | |
result.content = input; | |
} | |
return result; | |
} | |
static void expect_tool_parameters(const std::string & name, const json & parameters, const std::vector<std::string> & expected_properties) { | |
if (!parameters.is_object() || !parameters.contains("type") || parameters["type"] != "object" || !parameters.contains("properties") || !parameters.contains("required")) { | |
throw std::runtime_error("Parameters of tool " + name + " must be an object w/ required properties"); | |
} | |
const auto & parameters_properties = parameters.at("properties"); | |
const auto & parameters_required = parameters.at("required"); | |
for (const auto & prop : expected_properties) { | |
if (!parameters_properties.contains(prop)) { | |
throw std::runtime_error("Parameters of tool " + name + " is missing property: " + prop); | |
} | |
if (std::find(parameters_required.begin(), parameters_required.end(), json(prop)) == parameters_required.end()) { | |
throw std::runtime_error("Parameters of tool " + name + " must have property marked as required: " + prop); | |
} | |
} | |
if (parameters_properties.size() != expected_properties.size()) { | |
throw std::runtime_error("Parameters of tool " + name + " must only have these properties:" + string_join(expected_properties, ", ")); | |
} | |
} | |
static common_chat_params common_chat_params_init_llama_3_1_tool_calls(const common_chat_template & tmpl, const struct common_chat_inputs & inputs, bool allow_python_tag_builtin_tools) { | |
auto builtin_tools = json::array(); | |
common_chat_params data; | |
data.grammar_lazy = inputs.tool_choice != "required"; | |
data.grammar = build_grammar([&](const common_grammar_builder & builder) { | |
std::vector<std::string> tool_rules; | |
auto handle_builtin_tool = [&](const std::string & name, const json & parameters) { | |
if (name == "wolfram_alpha") { | |
// https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/tool_runtime/wolfram_alpha/wolfram_alpha.py | |
expect_tool_parameters(name, parameters, {"query"}); | |
} else if (name == "web_search" || name == "brave_search") { | |
// https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/tool_runtime/brave_search/brave_search.py | |
expect_tool_parameters(name, parameters, {"query"}); | |
} else if (name == "python" || name == "code_interpreter") { | |
// https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/inline/tool_runtime/code_interpreter/code_interpreter.py | |
expect_tool_parameters(name, parameters, {"code"}); | |
} else { | |
return false; | |
} | |
std::vector<std::string> kvs; | |
for (const auto & [key, value] : parameters.at("properties").items()) { | |
kvs.push_back("\"" + key + "=\" " + builder.add_schema(name + "-args-" + key, value)); | |
} | |
tool_rules.push_back( | |
builder.add_rule( | |
name + "-call", | |
"\"<|python_tag|>" + name + ".call(\" " + string_join(kvs, " \", \" ") + " \")\"")); | |
builtin_tools.push_back(name); | |
return true; | |
}; | |
foreach_function(inputs.tools, [&](const json & tool) { | |
const auto & function = tool["function"]; | |
std::string name = function["name"]; | |
auto parameters = function["parameters"]; | |
builder.resolve_refs(parameters); | |
// https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/remote/tool_runtime | |
if (allow_python_tag_builtin_tools) { | |
handle_builtin_tool(name, parameters); | |
} | |
tool_rules.push_back( | |
builder.add_rule( | |
name + "-call", | |
"\"{\" space " | |
"( \"\\\"type\\\":\" space \"\\\"function\\\",\" space )? " | |
"\"\\\"name\\\": \\\"" + name + "\\\", \\\"parameters\\\": \" " + | |
builder.add_schema(name + "-args", parameters) + | |
" \"}\"")); | |
data.grammar_triggers.push_back({"{\"name\": \"" + name + "\"", /* .at_start = */ true}); | |
}); | |
data.grammar_triggers.push_back({"{\"name\":", /* .at_start = */ true}); | |
data.grammar_triggers.push_back({"{\n \"name\":", /* .at_start = */ true}); | |
data.grammar_triggers.push_back({"{\n \"name\":", /* .at_start = */ true}); | |
data.grammar_triggers.push_back({"{\"type\": \"function\"", /* .at_start = */ true}); | |
data.grammar_triggers.push_back({"{\n \"type\": \"function\"", /* .at_start = */ true}); | |
data.grammar_triggers.push_back({"{\n \"type\": \"function\"", /* .at_start = */ true}); | |
if (!builtin_tools.empty()) { | |
data.grammar_triggers.push_back({"<|python_tag|>", /* .at_start = */ false}); | |
} | |
builder.add_rule("root", string_join(tool_rules, " | ")); | |
}, grammar_options); | |
data.additional_stops.push_back("<|eom_id|>"); | |
data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt, { | |
{"tools_in_user_message", false}, | |
{"builtin_tools", builtin_tools.empty() ? json() : builtin_tools}, | |
}); | |
data.format = allow_python_tag_builtin_tools && !builtin_tools.empty() | |
? COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS | |
: COMMON_CHAT_FORMAT_LLAMA_3_X; | |
return data; | |
} | |
static common_chat_msg common_chat_parse_llama_3_1(const std::string & input, bool with_builtin_tools = false) { | |
// TODO: tighten & simplify the parser, don't accept leading text context. | |
static std::regex function_regex("\\{[\\s\\n\\r]*(?:\"type\"[\\s\\n\\r]*:[\\s\\n\\r]*\"function\"[\\s\\n\\r]*,[\\s\\n\\r]*|[\\s\\n\\r]*)\"name\"[\\s\\n\\r]*:[\\s\\n\\r]*\"([^\"]+)\"[\\s\\n\\r]*,[\\s\\n\\r]*\"parameters\": "); | |
static std::regex close_regex("\\}"); | |
static std::regex builtin_call_regex("<\\|python_tag\\|>([^.(]+)\\.call\\((.*)\\)"); | |
if (with_builtin_tools) { | |
std::smatch match; | |
if (std::regex_match(input, match, builtin_call_regex)) { | |
auto name = match[1].str(); | |
auto raw_args = match[2].str(); | |
// TODO: if/when builtin tools start accepting more than 1 argument, use parse_json for real parsing. | |
auto it_eq = raw_args.find('='); | |
auto arg_name = raw_args.substr(0, it_eq); | |
auto arg_value_str = raw_args.substr(it_eq + 1); | |
auto arg_value = json::parse(arg_value_str); | |
return { | |
/* .role = */ "assistant", | |
/* .content = */ match.prefix().str(), | |
/* .tool_calls = */ { | |
{ | |
/* .name = */ match[1], | |
/* .arguments = */ (json { | |
{arg_name, arg_value}, | |
}).dump(), | |
/* .id = */ "", | |
}, | |
}, | |
}; | |
} | |
} | |
return parse_json_tool_calls(input, std::nullopt, function_regex, close_regex); | |
} | |
static common_chat_params common_chat_params_init_deepseek_r1(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { | |
common_chat_params data; | |
data.grammar_lazy = inputs.tool_choice != "required"; | |
data.grammar = build_grammar([&](const common_grammar_builder & builder) { | |
std::vector<std::string> tool_rules; | |
foreach_function(inputs.tools, [&](const json & tool) { | |
const auto & function = tool["function"]; | |
std::string name = function["name"]; | |
auto parameters = function["parameters"]; | |
auto args_rule = builder.add_schema(name + "-args", parameters); | |
tool_rules.push_back(builder.add_rule(name + "-call", | |
"\"<|tool▁call▁begin|>function<|tool▁sep|>" + name + "\\n```json\\n\" " + args_rule + " \"```<|tool▁call▁end|>\"")); | |
}); | |
data.grammar_triggers.push_back({"<|tool▁calls▁begin|>", /* .at_start = */ false}); | |
data.preserved_tokens = { | |
"<|tool▁sep|>", | |
"<|tool▁call▁end|>", | |
}; | |
builder.add_rule("root", "\"<|tool▁calls▁begin|>\" (" + string_join(tool_rules, " | ") + ")" + (inputs.parallel_tool_calls ? "*" : "") + " space"); | |
}, grammar_options); | |
auto prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); | |
data.prompt = prompt; | |
data.format = COMMON_CHAT_FORMAT_DEEPSEEK_R1; | |
return data; | |
} | |
static common_chat_msg common_chat_parse_deepseek_r1(const std::string & input) { | |
static std::regex trigger_regex("<|tool▁calls▁begin|>"); | |
static std::regex function_regex("<|tool▁call▁begin|>function<|tool▁sep|>([^\n]+)\n```json\n"); | |
static std::regex close_regex("```<|tool▁call▁end|>"); | |
return parse_json_tool_calls(input, trigger_regex, function_regex, close_regex); | |
} | |
static common_chat_params common_chat_params_init_firefunction_v2(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { | |
fprintf(stderr, "%s\n", __func__); | |
common_chat_params data; | |
data.prompt = apply(tmpl, inputs.messages, /* tools= */ nullptr, inputs.add_generation_prompt, { | |
{"datetime", "Jan 29 2025 13:00:00 GMT"}, | |
{"functions", json(inputs.tools.empty() ? "" : inputs.tools.dump(2))}, | |
}); | |
if (!inputs.tools.is_null() && !inputs.tools.empty()) { | |
data.grammar_lazy = inputs.tool_choice != "required"; | |
data.grammar = build_grammar([&](const common_grammar_builder & builder) { | |
auto schemas = json::array(); | |
foreach_function(inputs.tools, [&](const json & tool) { | |
const auto & function = tool["function"]; | |
schemas.push_back({ | |
{"type", "object"}, | |
{"properties", { | |
{"name", { | |
{"type", "string"}, | |
{"const", function["name"]}, | |
}}, | |
{"arguments", function["parameters"]}, | |
}}, | |
{"required", json::array({"name", "arguments", "id"})}, | |
}); | |
}); | |
auto schema = json { | |
{"type", "array"}, | |
{"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}}, | |
{"minItems", 1}, | |
}; | |
if (!inputs.parallel_tool_calls) { | |
schema["maxItems"] = 1; | |
} | |
builder.add_rule("root", "\" functools\"? " + builder.add_schema("tool_calls", schema)); | |
}, grammar_options); | |
data.grammar_triggers.push_back({" functools[", /* .at_start = */ false}); | |
data.format = COMMON_CHAT_FORMAT_FIREFUNCTION_V2; | |
} else { | |
data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; | |
} | |
return data; | |
} | |
static common_chat_msg common_chat_parse_firefunction_v2(const std::string & input) { | |
return parse_prefixed_json_tool_call_array(input, " functools[", /* rstrip_prefix= */ 1); | |
} | |
static common_chat_params common_chat_params_init_functionary_v3_2(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { | |
// >>>all\nlet's call functions>>>fn1\n{"arg1": 1...}\n>>>fn2\n{"arg1": 1...}... | |
// Using ">>>f1\n", ">>>f2\n"... as trigger words for the grammar | |
common_chat_params data; | |
data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); | |
data.format = COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2; | |
if (!inputs.tools.is_null() && !inputs.tools.empty()) { | |
data.grammar_lazy = inputs.tool_choice != "required"; | |
data.grammar = build_grammar([&](const common_grammar_builder & builder) { | |
std::vector<std::string> first_tool_rules; | |
std::vector<std::string> subsequent_tool_rules; | |
foreach_function(inputs.tools, [&](const json & tool) { | |
const auto & function = tool["function"]; | |
std::string name = function["name"]; | |
auto parameters = function["parameters"]; | |
auto args_rule = builder.add_schema(name + "-args", parameters); | |
first_tool_rules.push_back(builder.add_rule(name + "-call", "\"" + name + "\\n\" " + args_rule)); | |
subsequent_tool_rules.push_back(builder.add_rule(name + "-call2", "\">>>" + name + "\\n\" " + args_rule)); | |
data.grammar_triggers.push_back({name, /* .at_start = */ true}); | |
data.grammar_triggers.push_back({">>>" + name, /* .at_start = */ false}); | |
}); | |
auto first_rule = first_tool_rules.empty() ? "" : builder.add_rule("first_tool_call", string_join(first_tool_rules, " | ")) + " space"; | |
if (inputs.parallel_tool_calls) { | |
auto subsequent_rule = builder.add_rule("subsequent_tool_call", string_join(subsequent_tool_rules, " | ")) + " space"; | |
builder.add_rule("root", first_rule + " (" + subsequent_rule + ")*"); | |
} else { | |
builder.add_rule("root", first_rule); | |
} | |
}, grammar_options); | |
} | |
return data; | |
} | |
static bool consume(std::string::const_iterator & it, const std::string::const_iterator & end, const std::string & expected) { | |
auto expected_it = expected.begin(); | |
auto tmp_it = it; | |
while (tmp_it != end && expected_it != expected.end() && *tmp_it == *expected_it) { | |
++tmp_it; | |
++expected_it; | |
} | |
if (expected_it == expected.end()) { | |
it = tmp_it; | |
return true; | |
} | |
return false; | |
} | |
static common_chat_msg common_chat_parse_functionary_v3_2(const std::string & input) { | |
static std::regex function_regex(R"((?:>>>)?(\w+)\n)"); | |
static std::regex close_regex(R"($|(?=>>>))"); | |
std::string content; | |
auto it = input.begin(); | |
const auto end = input.end(); | |
if (consume(it, end, "all\n")) { | |
std::smatch match; | |
if (std::regex_search(it, end, match, function_regex)) { | |
auto fun_it = match.prefix().second; | |
content = std::string(it, fun_it); | |
it = fun_it; | |
} else { | |
common_chat_msg res; | |
res.role = "assistant"; | |
res.content = std::string(it, end); | |
return res; | |
} | |
} | |
// TODO: tighten & simplify. | |
try { | |
auto res = parse_json_tool_calls(std::string(it, end), std::nullopt, function_regex, close_regex); | |
res.content = content + res.content; | |
return res; | |
} catch (const std::exception & e) { | |
LOG_ERR("Failed to parse functionary v3.2 input: %s\n", e.what()); | |
common_chat_msg res; | |
res.role = "assistant"; | |
res.content = input; | |
return res; | |
} | |
} | |
static common_chat_params common_chat_params_init_functionary_v3_1_llama_3_1(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { | |
// https://github.com/MeetKai/functionary/blob/main/tests/prompt_test_v3-llama3.1.txt | |
common_chat_params data; | |
json tools = inputs.tools.is_null() ? inputs.tools : json::array(); | |
std::string python_code_argument_name; | |
auto has_raw_python = false; | |
data.grammar_lazy = inputs.tool_choice != "required"; | |
data.grammar = build_grammar([&](const common_grammar_builder & builder) { | |
std::vector<std::string> tool_rules; | |
foreach_function(inputs.tools, [&](const json & tool) { | |
const auto & function = tool["function"]; | |
const auto & parameters = function["parameters"]; | |
std::string name = function["name"]; | |
if (name == "python" || name == "ipython") { | |
if (!parameters.contains("type")) { | |
throw std::runtime_error("Missing type in python tool"); | |
} | |
has_raw_python = true; | |
auto type = parameters.at("type"); | |
if (type == "object") { | |
auto properties = parameters.at("properties"); | |
for (auto it = properties.begin(); it != properties.end(); ++it) { | |
if (it.value().at("type") == "string") { | |
if (!python_code_argument_name.empty()) { | |
throw std::runtime_error("Multiple string arguments found in python tool"); | |
} | |
python_code_argument_name = it.key(); | |
} | |
} | |
if (python_code_argument_name.empty()) { | |
throw std::runtime_error("No string argument found in python tool"); | |
} | |
} else if (type != "string") { | |
throw std::runtime_error("Invalid type in python tool: " + type.dump()); | |
} | |
} | |
tool_rules.push_back(builder.add_rule(name + "-call", "\"<function=" + name + ">\" " + builder.add_schema(name + "-args", parameters) + " \"</function>\" space")); | |
}); | |
if (has_raw_python) { | |
tool_rules.push_back(builder.add_rule("python-call", "\"<|python_tag|>\" .*")); | |
data.grammar_triggers.push_back({"<|python_tag|>", /* .at_start = */ false}); | |
} | |
auto tool_call = builder.add_rule("tool_call", string_join(tool_rules, " | ")) + " space"; | |
builder.add_rule("root", inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call); | |
data.grammar_triggers.push_back({"<function=", /* .at_start = */ false}); | |
}, grammar_options); | |
data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); | |
// TODO: if (has_raw_python) | |
data.format = COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1; | |
return data; | |
} | |
static common_chat_msg common_chat_parse_functionary_v3_1_llama_3_1(const std::string & input) { | |
// This version of Functionary still supports the llama 3.1 tool call format for the python tool. | |
static std::regex python_tag_regex(R"(<\|python_tag\|>([\s\S\n]*)$)"); | |
std::smatch match; | |
if (std::regex_search(input, match, python_tag_regex)) { | |
auto code = match[1].str(); | |
return { | |
/* .role = */ "assistant", | |
/* .content = */ match.prefix().str(), | |
/* .tool_calls = */ { | |
{ | |
/* .name = */ "python", | |
/* .arguments = */ (json {{"code", code}}).dump(), | |
/* .id = */ "", | |
}, | |
} | |
}; | |
} | |
static std::regex function_regex(R"(<function=(\w+)>)"); | |
static std::regex close_regex(R"(</function>)"); | |
// TODO: tighten & simplify. | |
return parse_json_tool_calls(input, std::nullopt, function_regex, close_regex); | |
} | |
static common_chat_params common_chat_params_init_hermes_2_pro(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { | |
common_chat_params data; | |
// (content)?(<tool_call>{"name": "foo", "arguments": {"a": 1}}</tool_call>)* | |
data.grammar_lazy = inputs.tool_choice != "required"; | |
data.grammar = build_grammar([&](const common_grammar_builder & builder) { | |
std::vector<std::string> tool_rules; | |
foreach_function(inputs.tools, [&](const json & tool) { | |
const auto & function = tool["function"]; | |
std::string name = function["name"]; | |
auto parameters = function["parameters"]; | |
builder.resolve_refs(parameters); | |
tool_rules.push_back(builder.add_schema(name + "-call", { | |
{"type", "object"}, | |
{"properties", json { | |
{"name", json {{"const", name}}}, | |
{"arguments", parameters}, | |
}}, | |
{"required", json::array({"name", "arguments"})}, | |
})); | |
}); | |
auto tool_call = "\"<tool_call>\" space " + builder.add_rule("tool_call", string_join(tool_rules, " | ")) + " \"</tool_call>\" space"; | |
builder.add_rule("root", inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call); | |
data.grammar_triggers.push_back({"<tool_call>", /* .at_start = */ false}); | |
data.preserved_tokens = { "</tool_call>" }; | |
}, grammar_options); | |
data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); | |
data.format = COMMON_CHAT_FORMAT_HERMES_2_PRO; | |
return data; | |
} | |
static common_chat_msg common_chat_parse_hermes_2_pro(const std::string & input) { | |
try { | |
std::regex start_pattern(R"([\n\s]*<tool_call>)"); | |
std::regex middle_pattern(R"([\n\s]*</tool_call>[\n\s]*<tool_call>)"); | |
std::regex end_pattern(R"([\n\s]*</tool_call>[\n\s]*$)"); | |
auto end = input.end(); | |
std::sregex_iterator rend; | |
std::sregex_iterator rit(input.begin(), end, start_pattern); | |
if (rit == rend) { | |
return { | |
/* .role = */ "assistant", | |
/* .content = */ input, | |
/* .tool_calls = */ {}, | |
}; | |
} | |
common_chat_msg result; | |
result.role = "assistant"; | |
result.content = rit->prefix(); | |
auto it = rit->suffix().first; | |
while (it != end) { | |
json call; | |
if (!parse_json(it, end, call)) { | |
throw std::runtime_error("Failed to parse json tool call"); | |
} | |
const auto & arguments = call["arguments"]; | |
result.tool_calls.push_back({ | |
call["name"], | |
arguments.dump(), | |
// arguments.is_string() ? arguments.get<std::string>() : arguments.dump(), | |
/* id= */ "", | |
}); | |
rit = {it, end, middle_pattern}; | |
if (rit != rend) { | |
it = rit->suffix().first; | |
} else { | |
rit = {it, end, end_pattern}; | |
if (rit == rend) { | |
throw std::runtime_error("Malformed input, missing </tool_call>"); | |
} | |
break; | |
} | |
} | |
return result; | |
} catch (const std::exception & e) { | |
return { | |
/* .role = */ "assistant", | |
/* .content = */ input, | |
/* .tool_calls = */ {}, | |
}; | |
} | |
} | |
static common_chat_params common_chat_params_init_without_tools(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { | |
common_chat_params data; | |
data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); | |
data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; | |
data.grammar_lazy = false; | |
if (!inputs.json_schema.is_null()) { | |
if (!inputs.grammar.empty()) { | |
throw std::runtime_error("Either \"json_schema\" or \"grammar\" can be specified, but not both"); | |
} | |
data.grammar = json_schema_to_grammar(inputs.json_schema); | |
} else { | |
data.grammar = inputs.grammar.empty(); | |
} | |
return data; | |
} | |
common_chat_params common_chat_params_init(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { | |
auto has_tools = !inputs.tools.is_null() && inputs.tool_choice != "none"; | |
LOG_DBG("[%s] has_tools=%s\n", __func__, has_tools ? "true" : "false"); | |
if (has_tools && !inputs.grammar.empty()) { | |
throw std::runtime_error("Cannot specify grammar with tools"); | |
} | |
const auto & src = tmpl.source(); | |
if (src.find(">>>all") != std::string::npos) { | |
// Functionary prepends "all\n" to plain content outputs, so we use the parser no matter when | |
return common_chat_params_init_functionary_v3_2(tmpl, inputs); | |
} | |
if (src.find(" functools[") != std::string::npos) { | |
// Firefunction v2 requires datetime and functions in the context, even w/o tools. | |
return common_chat_params_init_firefunction_v2(tmpl, inputs); | |
} | |
if (!has_tools) { | |
return common_chat_params_init_without_tools(tmpl, inputs); | |
} | |
if (src.find("<tool_call>") != std::string::npos) { | |
return common_chat_params_init_hermes_2_pro(tmpl, inputs); | |
} | |
if (src.find("<|start_header_id|>") != std::string::npos | |
&& src.find("<function=") != std::string::npos) { | |
return common_chat_params_init_functionary_v3_1_llama_3_1(tmpl, inputs); | |
} | |
if (src.find("<|start_header_id|>ipython<|end_header_id|>") != std::string::npos) { | |
auto allow_python_tag_builtin_tools = src.find("<|python_tag|>") != std::string::npos; | |
return common_chat_params_init_llama_3_1_tool_calls(tmpl, inputs, allow_python_tag_builtin_tools); | |
} | |
if (src.find("<|tool▁calls▁begin|>") != std::string::npos) { | |
return common_chat_params_init_deepseek_r1(tmpl, inputs); | |
} | |
if (src.find("[TOOL_CALLS]") != std::string::npos) { | |
return common_chat_params_init_mistral_nemo(tmpl, inputs); | |
} | |
if (src.find("<|END_THINKING|><|START_ACTION|>") != std::string::npos) { | |
return common_chat_params_init_command_r7b(tmpl, inputs); | |
} | |
return common_chat_params_init_generic(tmpl, inputs); | |
} | |
static common_chat_msg common_chat_parse_content_only(const std::string & input) { | |
return { | |
/* .role = */ "assistant", | |
/* .content = */ input, | |
/* .tool_calls = */ {}, | |
}; | |
} | |
common_chat_msg common_chat_parse(const std::string & input, common_chat_format format) { | |
switch (format) { | |
case COMMON_CHAT_FORMAT_CONTENT_ONLY: | |
return common_chat_parse_content_only(input); | |
case COMMON_CHAT_FORMAT_GENERIC: | |
return common_chat_parse_generic(input); | |
case COMMON_CHAT_FORMAT_MISTRAL_NEMO: | |
return common_chat_parse_mistral_nemo(input); | |
case COMMON_CHAT_FORMAT_LLAMA_3_X: | |
return common_chat_parse_llama_3_1(input); | |
case COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS: | |
return common_chat_parse_llama_3_1(input, /* with_builtin_tools= */ true); | |
case COMMON_CHAT_FORMAT_DEEPSEEK_R1: | |
return common_chat_parse_deepseek_r1(input); | |
case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2: | |
return common_chat_parse_functionary_v3_2(input); | |
case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1: | |
return common_chat_parse_functionary_v3_1_llama_3_1(input); | |
case COMMON_CHAT_FORMAT_HERMES_2_PRO: | |
return common_chat_parse_hermes_2_pro(input); | |
case COMMON_CHAT_FORMAT_FIREFUNCTION_V2: | |
return common_chat_parse_firefunction_v2(input); | |
case COMMON_CHAT_FORMAT_COMMAND_R7B: | |
return common_chat_parse_command_r7b(input); | |
default: | |
throw std::runtime_error("Unsupported format: " + common_chat_format_name(format)); | |
} | |
} | |